reverse-vaccinology

eNERVE is a dynamic, high-throughput and standalone in silico reverse vaccinology pipeline for eukaryotic protein candidate vaccines (PVCs) discovery from entire proteomes (FASTA file).

NERVE is an user-friendly software environment for the in silico identification of the best vaccine candidates from whole proteomes of bacterial pathogens. The purpose of this project is to update it, implementing new modules with machine learning based methods, and improving the performance of the already implemented ones.

Model that computes the probability of a protein to be a virulence factor.

Model that computes the probability of a protein to be an adhesin. The best predictor you will find for protein sequences ;)

Vaccine/Diagnostics Development Pipelines

A bilingual research training manual for the computational design, evaluation, and experimental expression of the CBBT multi-epitope recombinant antigen.

Standalone Python package for annotating protein sequences with biological and physicochemical properties (iFeature, IEDB, SignalP) for reverse vaccinology. Extracted from VacSol-ML(ESKAPE); supports multi-allele MHC-I/II epitope prediction. Provides both a Python API and a CLI

EpitopePred — An integrated immunoinformatics web server for automated multi-epitope vaccine engineering against viral, bacterial, protozoal, and fungal pathogens. Combines 30+ bioinformatics tools with deep learning (ESMFold, ESM-1b) and asynchronous pipeline orchestration.

Computational design and immunoinformatics-based evaluation of a multi-epitope vaccine candidate against Neisseria gonorrhoeae.

Research portal mapping of uropathogenic E. coli genomic architecture of Ms. Zaara Ishaq's PhD project.

MemVax-Py is a Python-based computational project for prioritizing protein sequences using a transparent, multi-criteria framework based on the idea of reverse vaccinology.

PRRSV vaccine intelligence platform for computational vaccine research